Journal ArticleDOI
The weighted sum method for multi-objective optimization: new insights
TLDR
This paper investigates the fundamental significance of the weights in terms of preferences, the Pareto optimal set, and objective-function values and determines the factors that dictate which solution point results from a particular set of weights.Abstract:
As a common concept in multi-objective optimization, minimizing a weighted sum constitutes an independent method as well as a component of other methods. Consequently, insight into characteristics of the weighted sum method has far reaching implications. However, despite the many published applications for this method and the literature addressing its pitfalls with respect to depicting the Pareto optimal set, there is little comprehensive discussion concerning the conceptual significance of the weights and techniques for maximizing the effectiveness of the method with respect to a priori articulation of preferences. Thus, in this paper, we investigate the fundamental significance of the weights in terms of preferences, the Pareto optimal set, and objective-function values. We determine the factors that dictate which solution point results from a particular set of weights. Fundamental deficiencies are identified in terms of a priori articulation of preferences, and guidelines are provided to help avoid blind use of the method.read more
Citations
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Journal ArticleDOI
Sizing Battery Energy Storage Systems: Using Multi-Objective Optimization to Overcome the Investment Scale Problem of Annual Worth
Joseph. J. Kelly,Paul Leahy +1 more
TL;DR: Two multi-objective optimisation (MOO) models to account for the scale of investment required in sizing BESS are presented and the Rating Method is the appropriate approach.
Journal ArticleDOI
Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application
TL;DR: An Internet of Things–based multi-temperature delivery planning system (IoT-MTDPS), embedding a two-phase multi-objective genetic algorithm optimiser (2PMGAO) to enhance the capability of handling e-commerce orders, while customer satisfaction can be maintained at a designated level.
Journal ArticleDOI
Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5
Jeffrey M. Sadler,Jonathan L. Goodall,Madhur Behl,Madhur Behl,Mohamed M. Morsy,Mohamed M. Morsy,Teresa B. Culver,Benjamin D. Bowes +7 more
TL;DR: Swmm_mpc, software developed for simulating model predictive control for urban drainage systems using open source software (Python and the EPA Stormwater Management Model version 5 (SWMM5)) uses an evolutionary algorithm as an optimizer and supports parallel processing.
Proceedings ArticleDOI
QoI-aware energy-efficient participant selection
TL;DR: Real and extensive trace-based experiments show that the proposed participant selection scheme can well balance the trade-off between the task QoI and energy consumptions by selecting most efficient participants, compared with existing schemes.
Journal ArticleDOI
Observational data-driven modeling and optimization of manufacturing processes
TL;DR: In this article, the authors propose an integrated approach that uses observational data for identifying significant control variables while simultaneously facilitating process parameter design, which can overcome the cost associated with intrusive controlled designed experiments and can be applied for both process monitoring and improvement.
References
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Journal ArticleDOI
A Scaling Method for Priorities in Hierarchical Structures
TL;DR: A method of scaling ratios using the principal eigenvector of a positive pairwise comparison matrix is investigated, showing that λmax = n is a necessary and sufficient condition for consistency.
Book
Nonlinear Multiobjective Optimization
TL;DR: This paper is concerned with the development of methods for dealing with the role of symbols in the interpretation of semantics.
Journal ArticleDOI
Survey of multi-objective optimization methods for engineering
R.T. Marler,Jasbir S. Arora +1 more
TL;DR: A survey of current continuous nonlinear multi-objective optimization concepts and methods finds that no single approach is superior and depends on the type of information provided in the problem, the user's preferences, the solution requirements, and the availability of software.
Book
Multiple Criteria Optimization: Theory, Computation, and Application
TL;DR: Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach.
Book
Multiple Objective Decision Making ― Methods and Applications: A State-of-the-Art Survey
Ching-Lai Hwang,Kwangsun Yoon +1 more
TL;DR: On MADM Methods Classification.